194 related articles for article (PubMed ID: 23732688)
1. Detection of invasive components in cases of breast ductal carcinoma in situ on biopsy by using apparent diffusion coefficient MR parameters.
Mori N; Ota H; Mugikura S; Takasawa C; Tominaga J; Ishida T; Watanabe M; Takase K; Takahashi S
Eur Radiol; 2013 Oct; 23(10):2705-12. PubMed ID: 23732688
[TBL] [Abstract][Full Text] [Related]
2. Apparent diffusion coefficient as an MR imaging biomarker of low-risk ductal carcinoma in situ: a pilot study.
Iima M; Le Bihan D; Okumura R; Okada T; Fujimoto K; Kanao S; Tanaka S; Fujimoto M; Sakashita H; Togashi K
Radiology; 2011 Aug; 260(2):364-72. PubMed ID: 21633054
[TBL] [Abstract][Full Text] [Related]
3. Evaluation of Apparent Diffusion Coefficient to Predict Grade, Microinvasion, and Invasion in Ductal Carcinoma In Situ of the Breast.
Hussein H; Chung C; Moshonov H; Miller N; Kulkarni SR; Scaranelo AM
Acad Radiol; 2015 Dec; 22(12):1483-8. PubMed ID: 26391856
[TBL] [Abstract][Full Text] [Related]
4. Risk stratification of ductal carcinoma in situ using whole-lesion histogram analysis of the apparent diffusion coefficient.
Kim JY; Kim JJ; Lee JW; Lee NK; Lee G; Kang T; Park H; Son YH; Grimm R
Eur Radiol; 2019 Feb; 29(2):485-493. PubMed ID: 30073498
[TBL] [Abstract][Full Text] [Related]
5. Quantitative apparent diffusion coefficient as a noninvasive imaging biomarker for the differentiation of invasive breast cancer and ductal carcinoma in situ.
Bickel H; Pinker-Domenig K; Bogner W; Spick C; Bagó-Horváth Z; Weber M; Helbich T; Baltzer P
Invest Radiol; 2015 Feb; 50(2):95-100. PubMed ID: 25333308
[TBL] [Abstract][Full Text] [Related]
6. Preoperative clinicopathologic factors and breast magnetic resonance imaging features can predict ductal carcinoma in situ with invasive components.
Lee CW; Wu HK; Lai HW; Wu WP; Chen ST; Chen DR; Chen CJ; Kuo SJ
Eur J Radiol; 2016 Apr; 85(4):780-9. PubMed ID: 26971424
[TBL] [Abstract][Full Text] [Related]
7. Diagnostic performance of minimum apparent diffusion coefficient value in differentiating the invasive breast cancer and ductal carcinoma
Zhao S; Shao G; Chen P; Li L; Yang Y; Zhao X; Guo W
J Cancer Res Ther; 2019; 15(4):871-875. PubMed ID: 31436245
[TBL] [Abstract][Full Text] [Related]
8. Intratumoral metabolic heterogeneity predicts invasive components in breast ductal carcinoma in situ.
Yoon HJ; Kim Y; Kim BS
Eur Radiol; 2015 Dec; 25(12):3648-58. PubMed ID: 26063655
[TBL] [Abstract][Full Text] [Related]
9. Histogram analysis of volume-based apparent diffusion coefficient in breast cancer.
Park GE; Kim SH; Kim EJ; Kang BJ; Park MS
Acta Radiol; 2017 Nov; 58(11):1294-1302. PubMed ID: 28273747
[TBL] [Abstract][Full Text] [Related]
10. Breast lesion characterization using whole-lesion histogram analysis with stretched-exponential diffusion model.
Liu C; Wang K; Li X; Zhang J; Ding J; Spuhler K; Duong T; Liang C; Huang C
J Magn Reson Imaging; 2018 Jun; 47(6):1701-1710. PubMed ID: 29165847
[TBL] [Abstract][Full Text] [Related]
11. In vivo assessment of ductal carcinoma in situ grade: a model incorporating dynamic contrast-enhanced and diffusion-weighted breast MR imaging parameters.
Rahbar H; Partridge SC; Demartini WB; Gutierrez RL; Allison KH; Peacock S; Lehman CD
Radiology; 2012 May; 263(2):374-82. PubMed ID: 22517955
[TBL] [Abstract][Full Text] [Related]
12. Characterization of ductal carcinoma in situ on diffusion weighted breast MRI.
Rahbar H; Partridge SC; Eby PR; Demartini WB; Gutierrez RL; Peacock S; Lehman CD
Eur Radiol; 2011 Sep; 21(9):2011-9. PubMed ID: 21562806
[TBL] [Abstract][Full Text] [Related]
13. Underestimation Rate at MR Imaging-guided Vacuum-assisted Breast Biopsy: A Multi-Institutional Retrospective Study of 1509 Breast Biopsies.
Verheyden C; Pages-Bouic E; Balleyguier C; Cherel P; Lepori D; Laffargue G; Doutriaux I; Jalaguier A; Poncelet E; Millet I; Thomassin-Naggara I; Taourel P
Radiology; 2016 Dec; 281(3):708-719. PubMed ID: 27355898
[TBL] [Abstract][Full Text] [Related]
14. Diffusional kurtosis imaging for differentiation of additional suspicious lesions on preoperative breast MRI of patients with known breast cancer.
Park VY; Kim SG; Kim EK; Moon HJ; Yoon JH; Kim MJ
Magn Reson Imaging; 2019 Oct; 62():199-208. PubMed ID: 31323316
[TBL] [Abstract][Full Text] [Related]
15. Optimization of apparent diffusion coefficient measured by diffusion-weighted MRI for diagnosis of breast lesions presenting as mass and non-mass-like enhancement.
Cheng L; Bai Y; Zhang J; Liu M; Li X; Zhang A; Zhang X; Ma L
Tumour Biol; 2013 Jun; 34(3):1537-45. PubMed ID: 23397543
[TBL] [Abstract][Full Text] [Related]
16. Could breast multiparametric MRI discriminate between pure ductal carcinoma in situ and microinvasive carcinoma?
Rizzo V; Cicciarelli F; Galati F; Moffa G; Maroncelli R; Pasculli M; Pediconi F
Acta Radiol; 2024 Jun; 65(6):565-574. PubMed ID: 38196268
[TBL] [Abstract][Full Text] [Related]
17. Diagnostic performance of ADC for Non-mass-like breast lesions on MR imaging.
Imamura T; Isomoto I; Sueyoshi E; Yano H; Uga T; Abe K; Hayashi T; Honda S; Yamaguchi T; Uetani M
Magn Reson Med Sci; 2010; 9(4):217-25. PubMed ID: 21187691
[TBL] [Abstract][Full Text] [Related]
18. Background parenchymal signal enhancement ratio at preoperative MR imaging: association with subsequent local recurrence in patients with ductal carcinoma in situ after breast conservation surgery.
Kim SA; Cho N; Ryu EB; Seo M; Bae MS; Chang JM; Moon WK
Radiology; 2014 Mar; 270(3):699-707. PubMed ID: 24126372
[TBL] [Abstract][Full Text] [Related]
19. Ductal carcinoma in situ diagnosed at US-guided 14-gauge core-needle biopsy for breast mass: preoperative predictors of invasive breast cancer.
Park AY; Gweon HM; Son EJ; Yoo M; Kim JA; Youk JH
Eur J Radiol; 2014 Apr; 83(4):654-9. PubMed ID: 24534119
[TBL] [Abstract][Full Text] [Related]
20. Diffusion-weighted imaging improves the diagnostic accuracy of conventional 3.0-T breast MR imaging.
Ei Khouli RH; Jacobs MA; Mezban SD; Huang P; Kamel IR; Macura KJ; Bluemke DA
Radiology; 2010 Jul; 256(1):64-73. PubMed ID: 20574085
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]